H2O.ai’s machine learning algorithms powered by GPUs can now build models up to 75x faster than existing technology
MOUNTAIN VIEW, Calif.–(BUSINESS WIRE)–H2O.ai today announced that it has collaborated with NVIDIA to offer its best-of-breed machine learning algorithms in a newly minted GPU edition. In addition, H2O’s platform will be optimized for NVIDIA® DGX-1™ systems.
Enterprises can use this end-to-end solution to operate on large datasets, iterate faster, deploy quickly and gain real-time insights. H2O’s AI solutions enable customers to train machine learning models up to 75x faster compared to conventional CPU-based solutions. Potential use cases for this GPU integration include customer service, fraud prevention, financial advising and healthcare personalization. As part of the initial release, H2O.ai demonstrated its Generalized Linear Model and Gradient Boosted Tree implementation that are accelerated using GPUs.
“AI with automatic machine learning will make data monetization possible for anyone with data. H2O.ai is excited to unveil our growing partnership with NVIDIA to bring interpretable, fast and accurate algorithms to GPUs.” said Sri Ambati, CEO and Co-founder of H2O.ai. “H2O.ai with NVIDIA GPU acceleration brings a high-performance cloud-neutral learning and inference stack for enterprise AI communities.”
About 9,000 enterprises and a third of Fortune 500 companies are using H2O.ai’s open source platform to derive value from data with machine learning and deep learning and receive real-time insights and make actionable decisions.
“Future advancements in machine learning will unlock opportunities for us to create breakthrough consumer experiences in ways that we can’t even imagine today,” said Adam Wenchel, VP of AI and Data Innovation at Capital One. “As users of the H2O.ai and NVIDIA platforms, we see GPU acceleration of machine learning as a transformative development for the enterprise distributed machine learning community.”
“Enterprises across industries will benefit from H2O.ai’s machine learning portfolio powered by the NVIDIA deep learning platform,” said Jim McHugh, vice president and general manager at NVIDIA. “Customers can now leverage H2O.ai machine learning algorithms to do clustering, classification, predictive analysis, and anomaly detection at speeds only possible on our platform.”
H2O.ai has enjoyed a banner year so far. The company was named a Strong Performer in The Forrester Wave™: Predictive Analytics & Machine Learning (PAML) Solutions, Q1 2017 report by Forrester Research in March, a Visionary in Gartner’s February Magic Quadrant and one of CB Insights’ AI 100 in January. 169 of the Fortune 500 companies—8 of the world’s top 10 banks, 7 of the top 10 insurance companies and 4 of the top 10 healthcare companies—depend on H2O.ai to power their data science.
For more information about H2O.ai, please visit www.h2o.ai.
H2O.ai is focused on bringing AI to businesses through software. Its flagship product is H2O, the leading open source platform that makes it easy for financial services, insurance and healthcare companies to deploy AI and deep learning to solve complex problems. More than 9,000 organizations and 80,000+ data scientists depend on H2O for critical applications like predictive maintenance and operational intelligence. The company — which was recently named to the CB Insights AI 100 — is used by 169 Fortune 500 enterprises, including 8 of the world’s 10 largest banks, 7 of the 10 largest insurance companies and 4 of the top 10 healthcare companies. Notable customers include Capital One, Progressive Insurance, Transamerica, Comcast, Nielsen Catalina Solutions, Macy’s, Walgreens and Kaiser Permanente.
VSC for H2O.ai
Senior Account Manager